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Numerical stability of a hybrid method for pricing options

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  • Maya Briani
  • Lucia Caramellino
  • Giulia Terenzi
  • Antonino Zanette

Abstract

We develop and study stability properties of a hybrid approximation of functionals of the Bates jump model with stochastic interest rate that uses a tree method in the direction of the volatility and the interest rate and a finite-difference approach in order to handle the underlying asset price process. We also propose hybrid simulations for the model, following a binomial tree in the direction of both the volatility and the interest rate, and a space-continuous approximation for the underlying asset price process coming from a Euler-Maruyama type scheme. We show that our methods allow to obtain efficient and accurate European and American option prices. Numerical experiments are provided, and show the reliability and the efficiency of the algorithms.

Suggested Citation

  • Maya Briani & Lucia Caramellino & Giulia Terenzi & Antonino Zanette, 2016. "Numerical stability of a hybrid method for pricing options," Papers 1603.07225, arXiv.org, revised Dec 2019.
    • Handle: RePEc:arx:papers:1603.07225
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    References listed on IDEAS

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    Cited by:

    1. Ludovic Gouden`ege & Andrea Molent & Xiao Wei & Antonino Zanette, 2024. "Enhancing Valuation of Variable Annuities in L\'evy Models with Stochastic Interest Rate," Papers 2404.07658, arXiv.org.
    2. Ascione, Giacomo & Mehrdoust, Farshid & Orlando, Giuseppe & Samimi, Oldouz, 2023. "Foreign Exchange Options on Heston-CIR Model Under Lévy Process Framework," Applied Mathematics and Computation, Elsevier, vol. 446(C).

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